Medical Genetics Commons^™

Genetic Relationships And Therapeutic Options For Relapsed Acute Lymphoblastic Leukemia, Hailie Shertzer

Senior Honors Theses

Acute lymphoblastic leukemia (ALL) is the most common form of cancer among children and can be lethal to the adult population. Though 80% of patients with ALL reach complete remission after treatment, about 20% of those diagnosed fail to remain cancer-free. Genetic rearrangements are the hallmark of relapsed ALL, but the mechanism by which these rearrangements occur is still unclear. Recent research suggests these mutations may be detectable during initial diagnosis. If researchers are able to accurately assess the probability of relapse during diagnosis by analyzing the genome of the leukemic cells, the likelihood of administering effective therapy would increase. …

Differential Iron Regulatory Genetics In 2d & 3d Culture Of Breast Cancer Cells, Tyler Hanna, Suzy Torti Ph. D, Frank Torti M.D., Mph, Nicole Farra Ph. D.

Honors Scholar Theses

The iron regulatory axis has consistently been shown to be perturbed in cancer cell lines relative to non-cancerous cell lines. As cancer cells rapidly divide and grow, they require iron to fuel many intracellular processes, including DNA replication and protein synthesis. Three-dimensional cell culture is an increasingly popular method of culture that purportedly more accurately mimics the in vivo microenvironment of cancers over traditional two-dimensional culture. This project was prompted by previous lab results to investigate differential iron regulatory gene expression in 2D and 3D spheroid culture models. We replicated the findings that the gene hepcidin is induced in 3D …

Identification Of Potential Synthetic Lethal Genes To P53 Using A Computational Biology Approach, Xiaosheng Wang, Richard Simon

Journal Articles: Genetics, Cell Biology & Anatomy

BACKGROUND:

Identification of genes that are synthetic lethal to p53 is an important strategy for anticancer therapy as p53 mutations have been reported to occur in more than half of all human cancer cases. Although genome-wide RNAi screening is an effective approach to finding synthetic lethal genes, it is costly and labor-intensive.

METHODS:

To illustrate this approach, we identified potentially druggable genes synthetically lethal for p53 using three microarray datasets for gene expression profiles of the NCI-60 cancer cell lines, one next-generation sequencing (RNA-Seq) dataset from the Cancer Genome Atlas (TCGA) project, and one gene expression data from the Cancer …

Inference Of Cancer-Specific Gene Regulatory Networks Using Soft Computing Rules., Xiaosheng Wang, Osamu Gotoh

Journal Articles: Genetics, Cell Biology & Anatomy

Perturbations of gene regulatory networks are essentially responsible for oncogenesis. Therefore, inferring the gene regulatory networks is a key step to overcoming cancer. In this work, we propose a method for inferring directed gene regulatory networks based on soft computing rules, which can identify important cause-effect regulatory relations of gene expression. First, we identify important genes associated with a specific cancer (colon cancer) using a supervised learning approach. Next, we reconstruct the gene regulatory networks by inferring the regulatory relations among the identified genes, and their regulated relations by other genes within the genome. We obtain two meaningful findings. One …